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Real-time sorting of melon seed using hyperspectral shortwave infrared imaging (Conference Presentation)
Author(s): Collins Wakholi; Hoonsoo Lee; Insuck Baek; Eunsoo Park; Moon S. Kim; Hyungjin Bae; Byoungkwan Cho
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Paper Abstract

Despite the complexity of the factors that lead to loss of seed viability, conventional methods like germination tests, tetrazolium tests are commonly employed to determine it. However, these methods have downsides like being destructive, time consuming and non-representative. Therefore, there is a need to develop a fast, non-destructive and real-time measurement and sorting system of seeds based on viability for industrial purpose. In this study, we seek to utilize HSI and multivariate data analysis techniques to classify viable seeds from non-viable ones and later use it basis to develop an online real-time detection system for sorting these seeds based on viability. For this cause, Data from melon and watermelon seeds were collected using a SWIR HSI system. The performance of the classification models achieved both during calibration and real-time tests were quite impressive and a proof that HSI can be effectively applied to an industrial real-time sorting system.

Paper Details

Date Published: 15 May 2018
Proc. SPIE 10665, Sensing for Agriculture and Food Quality and Safety X, 106650I (15 May 2018); doi: 10.1117/12.2307699
Show Author Affiliations
Collins Wakholi, Chungnam National Univ. (Korea, Republic of)
Hoonsoo Lee, Agricultural Research Service (United States)
Insuck Baek, Agricultural Research Service (United States)
Eunsoo Park, Chungnam National Univ. (Korea, Republic of)
Moon S. Kim, Agricultural Research Service (United States)
Hyungjin Bae, Chungnam National Univ. (Korea, Republic of)
Byoungkwan Cho, Chungnam National Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 10665:
Sensing for Agriculture and Food Quality and Safety X
Moon S. Kim; Kuanglin Chao; Bryan A. Chin; Byoung-Kwan Cho, Editor(s)

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